Abstract
AbstractIn this study, the influence of socio-cultural factors on attitudes toward artificial intelligence (AI) was investigated. In total, 1,677 Korean middle school students were selected to participate, and a test tool was used to measure the attitude toward AI. As a result, according to socio-cultural factors, middle school students’ attitudes toward AI were affected differently by gender- or AI-related experiences. In particular, students experiencing difficulties because of socio-cultural factors showed a more positive attitude toward AI if they had an AI education. On the other hand, interest toward AI and programming experience had a significant effect on attitudes toward AI and was not affected by socio-cultural factors. In particular, students with high interest toward AI or experience with block- and text-based programming languages showed significantly positive attitudes toward AI. Hence, the disparity in middle school students’ attitude toward AI according to socio-cultural factors was found.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Reference85 articles.
1. Aivaloglou, E., & Hermans, F. (2019). Early programming education and career orientation: the effects of gender, self-efficacy, motivation and stereotypes. In Proceedings of the 50th ACM technical symposium on computer science education (pp. 679-685). https://doi.org/10.1145/3287324.3287358
2. Bartneck, C., Nomura, T., Kanda, T., Suzuki, T., & Kennsuke, K. (2005a). Cultural Differences in Attitudes Towards Robots. Proceedings of the AISB Symposium on Robot Companions: Hard Problems And Open Challenges In Human-Robot Interaction, Hatfield pp. 1-4.
3. Bartneck, C., Nomura, T., Kanda, T., Suzuki, T., & Kennsuke, K. (2005b). A cross-cultural study on attitudes towards robots. roceedings of the HCI International, Las Vegas. 10.13140/RG.2.2.35929.11367
4. Beyer, S., Rynes, K., Perrault, J., Hay, K., & Haller, S. (2003). Gender differences in computer science students. In Proceedings of the 34th SIGCSE technical symposium on Computer science education (pp. 49-53).
5. Boyer-Davis, S. (2020). Technostress in higher education: An examination of faculty perceptions before and during the COVID-19 pandemic. Journal of Business and Accounting, 13(1), 42–58. https://doi.org/10.14254/1795-6889.2022.18-3.3
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献